Am 19.07.2012 um 20:50 schrieb Kingsley Idehen:
I completely understand and appreciate your desire (which I share) to see a
mature landscape with a range of linked data sources. I can also understand
how a database or spreadsheet can potentially offer fine-grained data access
- your
The discussion seem to point to a deeper question: how to enable crowd
sourcing of the analysis of these kind of data sets? This may involve
running of analysis code or maybe even manual work.
What kind of computational infrastructure would we need to enable this? And
how do we validate and
It seems to me that more than a computational infrastructure you would
need an efficient way to coordinate a community (communication, resource
(file, software?, ...) sharing and a common way of describing each used
methodology and set of results in order to facilitate subsequent result
validation
Hello Sebastian,
I agree 100%
Regards,
Michael Brunnbauer
On Fri, Jul 20, 2012 at 10:06:38AM +0200, Sebastian Schaffert wrote:
But I agree. A technology that is not able to fire proof its usefulness in a
demand driven / problem driven environment is maybe interesting from an
academic
WeConsent (http://weconsent.us/about.) is trying to address that through
encouraging people to freely share their own health/genomics data
instead of expecting health care professionals to do so. Supporting the
deposition of this data by the patients may be step #1 towards a
computational
On 7/19/12 9:13 PM, Mike Bergman wrote:
+1
On 7/19/2012 6:37 PM, glenn mcdonald wrote:
Remember, this is the Linked Open Data (LOD) forum. We've long past
the issue of *demand driven* over here, re. Linked Data.
There's a difference between solving an issue and just refusing to
On Fri, 2012-07-20 at 10:22 +0100, Stefan Decker wrote:
The discussion seem to point to a deeper question: how to enable crowd
sourcing of the analysis of these kind of data sets? This may involve
running of analysis code or maybe even manual work.
What kind of computational infrastructure
Hi Kingsley,
On 7/20/2012 5:30 AM, Kingsley Idehen wrote:
On 7/19/12 9:13 PM, Mike Bergman wrote:
+1
On 7/19/2012 6:37 PM, glenn mcdonald wrote:
Remember, this is the Linked Open Data (LOD) forum. We've long past
the issue of *demand driven* over here, re. Linked Data.
There's a
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The
On 7/20/12 4:06 AM, Sebastian Schaffert wrote:
Am 19.07.2012 um 20:50 schrieb Kingsley Idehen:
I completely understand and appreciate your desire (which I share) to see a
mature landscape with a range of linked data sources. I can also understand how
a database or spreadsheet can potentially
On 7/20/12 10:17 AM, Mike Bergman wrote:
Hi Kingsley,
On 7/20/2012 5:30 AM, Kingsley Idehen wrote:
On 7/19/12 9:13 PM, Mike Bergman wrote:
+1
On 7/19/2012 6:37 PM, glenn mcdonald wrote:
Remember, this is the Linked Open Data (LOD) forum. We've long
past
the issue of *demand
Sorry Dr. Booth, but I can't accept this conclusion.
We need technical solutions that will help us work through and around these
social barriers.
The root problem with Linked Data is deeply embedded and I would argue
inseparable from the current methods of the Mobile Web. The ID provided by a
We need technical solutions that will help us work through and around
these social barriers.
Suggested rephrase perhaps:
we need the *socio-technical systems* that will help us work through
and around ...
etc etc
PDM
ISTCS.org
socio-technical systems research
--
David Booth, Ph.D.
On the sociotechnical of possible interest:
http://hodges-model.blogspot.co.uk/search/label/sociotechnical
Re. cancer informatics I'm enrolled on four BOINC projects - not one is cancer
specific, but a couple can no doubt be related and the public can join in at
least indirectly crunching
On 7/20/12 11:48 AM, Sebastian Schaffert wrote:
[SNIP] -- so that we can focus on the key non personal points.
My claim is founded in the many discussions I have when going to the CTOs
of*real* companies (big ones, outside the research business) out there and
trying to convince them that
Hi All,
Stefan Decker wrote:
The discussion seem to point to a deeper question: how to enable crowd
sourcing of the analysis of these kind of data sets? This may involve
running of analysis code or maybe even manual work.
What kind of computational infrastructure would we need to enable
Kingsley,
Am 20.07.2012 um 20:20 schrieb Kingsley Idehen:
Again, how have you arrived at the Linked Data vs CSV scenario? Secondly, if
you'd done some background lookup, you would have stumbled across comments
I've made about CSV and Linked Data.
This is exactly the kind of comment by
On 7/20/12 4:05 PM, Sebastian Schaffert wrote:
Kingsley,
Am 20.07.2012 um 20:20 schrieb Kingsley Idehen:
Again, how have you arrived at the Linked Data vs CSV scenario? Secondly, if
you'd done some background lookup, you would have stumbled across comments I've
made about CSV and Linked
Hi Sebastian,
I completely agree with what you say about:
o Harish's original post being relevant to linked data and this list
o that the culture of this forum can be counter productive
o that the evidence for linked data delivering business value needs
to be a lot stronger
However,
Sebastian, all,
I'm on your side here. But regarding Linked Data, consider the
following points that slow down its adoption:
- data-heavy players such as Facebook and Google might not be
interested in adopting a new open, even if superior, data approach,
since it is in their interest to keep as
Dear Martynas,
Thanks for your constructive answer. I completely agree with all your points,
and I am looking forward to your software (already checked the README ;-) ). We
will surely try it out (maybe as a client for our Linked Media Framework).
The problem I am facing is that part of my
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